DATA CENTRIC: DATA MANAGEMENT FOR DECISION MAKING

Crta. de Quilmes, 37. 35017-Las Palmas de Gran Canaria, España

DATA CENTRIC: BEING A DATA-CENTRIC COMPANY

DATA MANAGEMENT TO MAKE DECISIONS

Making the information that your company collects on a daily basis the core of your business strategies is the basis for decision making and for shaping your organisation's operations.

CalendarOctober-December
Duration8 weeks
ModalityPresential
LanguageSpanish
PlaceGran Canaria

¿QUÉ ES DATA CENTRIC?
Enfoque empresarial en el que se sitúa a los datos en el centro de las estrategias, decisiones y operaciones de una organización.
Los datos se convierten en un recurso fundamental que guía acciones y comportamientos en todos los niveles de la compañía y por ello, se prioriza su disponibilidad, usabilidad y calidad.

WHAT WILL I LEARN?

You will learn to identify strategic opportunities and add value to projects from a business perspective, using Data Centric as a key decision-making tool.

When companies become data centric they ensure that the decisions made within them are based on objective information and not on assumptions or hunches.

You will be immersed in the latest trends and best practices to make the most of the power of data.

Translated with DeepL.com (free version)

A QUIEN VA DIRIGIDO

Designed for ambitious professionals and visionary companies.
Directors, managers and leaders, without prior knowledge, who want to understand the processes of data analysis and interpretation and enter the Data Centric universe.
Executives and area managers focused on problem solving and decision making.
Professionals in contact with information tools and the administration of platforms and/or data who seek to participate or already participate in decision making.
People who want to acquire digital skills to address technological challenges in a changing professional environment.

CURRICULUM

WORK WEEKS
The syllabus consists of 8 weeks:
WEEK 1
- Role of data in business decision making
  Big Data concepts and trends
  Applications of Artificial Intelligence in business
  Life cycle of a data project in a company
Introduction to the group entrepreneurship project

WEEK 2
Value generation through data analysis
Data analysis techniques for business insights
Exploring and visualising data for business insights.

Masterclass (4 hours): Digital Transformation and Data Driven: Keys to Business Success

Block 2: Big Data (2 weeks)

WEEK 3
- Data acquisition sources and techniques
  Data quality assurance
  Data cleansing and acquisition processes
  Introduction to Big Data architectures
WEEK 4
- Importance of data pre-processing
  Feature engineering techniques
  Data transformations and encodings
  Hadoop Ecosystem and Big Data Solutions
  Data processing with Apache Spark
Masterclass (4 hours): Scalable Architecture for Big Data in Enterprises

Block 3: Data Science (2 weeks)

WEEK 5
- Customer tracking through clustering
  K-means algorithm and its variant
  Cluster evaluation and inter-cluster interaction
  Clustering applications in business strategy
WEEK 6
- Price prediction with Machine Learning models
  Linear regression: theory and practical applications
  Evaluation of regression models
  Customer classification with supervised models
  Logistic regression for classification problems
  Decision trees and Random Forest
  Evaluation of classification models
Masterclass (4 hours): "Driving Sales with Data Science".

Block 4 Visualisation and Storytelling (2 weeks)

WEEK 7:
- Introduction to data visualisation
  Types of visualisations and when to use them
  Design principles for effective visualisations
  Tools and libraries for data visualisation
WEEK 8:
- Storytelling with data: how to tell a compelling story
  Narrative techniques for presenting insights
  Best practices for powerful data presentations
  Data visualisation for business decisions
Masterclass (4 hours): "Communicating with Data: Effective Visualisation for Decision Making".

Microentrepreneurship Project: Preparation of presentations and final pitch with data project proposal.

CALENDARIO

Las sesiones son semanales, los viernes por la tarde y los sábados por la mañana. Este horario flexible se adapta a tus compromisos diarios, sin interferir en tus responsabilidades. Las clases ofrecen una experiencia completa y enriquecedora, fomentando el aprendizaje, la interacción y el intercambio de ideas.

DOWLAND

ECOSISTEMA HADOOP
Herramienta para el procesamiento y almacenamiento distribuido de grandes conjuntos de datos en clusters o servidores. Su fortaleza está en gestionar volúmenes masivos de datos de manera eficiente.
¿QUIERES SABER MAS?

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A QUIEN VA DIRIGIDO

CURRICULUM

WORK WEEKS